NVIDIA GeForce RTX 5090
32 GB · 1,792 GB/s · 575 W
Prices
Every retailer we track in the US, cheapest first. Buy links may earn us a commission.
No retailer in this market lists it right now.
What two of them run
Every model in the catalogue, with the best quant for this hardware. Estimates, not measurements.
| Model | Quant | Fits | Memory | Max context | Decode @32k | Prefill | Good for |
|---|---|---|---|---|---|---|---|
| Qwen 3.8 27B Alibaba Qwen | Q8_0 | fits | 30.5 GB | 256k | 35tok/sest. | 1517 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 122B-A10B Alibaba Qwen | Q3_K_M | fits | 54.7 GB | 256k | 122tok/sest. | 3557 tok/s | chat, coding, agents, long documents |
| Qwen 3.6 27B Alibaba Qwen | Q8_0 | fits | 30.1 GB | 256k | 36tok/sest. | 1517 tok/s | chat, coding, agents, long documents |
| Qwen3 Coder Next Alibaba Qwen | Q5_K_M | fits | 55.1 GB | 256k | 183tok/sest. | 8573 tok/s | chat, coding, agents, long documents |
| gpt-oss 120B OpenAI | MXFP4 | fits | 61.5 GB | 64k108k with q8 cache | 154tok/sest. | 5745 tok/s | chat, coding, agents, long documents |
| Nemotron 3 Super 120B-A12B NVIDIA | UD-Q3_K_M | fits | 59.2 GB | 256k | 104tok/sest. | 3597 tok/s | chat, coding, agents, long documents |
| Gemma 4 31B | Q8_0 | fits | 35.0 GB | 256k | 31tok/sest. | 1351 tok/s | chat, coding, agents, long documents |
| Mistral Small 4 119B Mistral AI | UD-Q3_K_M | fits | 52.6 GB | 397k630k with q8 cache | 168tok/sest. | 3954 tok/s | chat, coding, agents, long documents |
| Qwen 3.6 35B-A3B Alibaba Qwen | Q8_0 | fits | 36.3 GB | 256k | 175tok/sest. | 10830 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 27B Alibaba Qwen | Q8_0 | fits | 30.1 GB | 256k | 36tok/sest. | 1517 tok/s | chat, coding, agents, long documents |
| Gemma 4 26B-A4B | Q8_0 | fits | 27.1 GB | 256k | 132tok/sest. | 9635 tok/s | chat, coding, agents, long documents |
| GLM 4.5 Air Z.ai | Q3_K_M | fits | 60.3 GB | 45k83k with q8 cache | 44tok/sest. | 1322 tok/s | chat, coding, agents |
| Qwen3 Next 80B-A3B Alibaba Qwen | Q5_K_M | fits | 55.0 GB | 256k | 224tok/sest. | 10199 tok/s | chat, coding, agents, long documents |
| Qwen 3.5 35B-A3B Alibaba Qwen | Q8_0 | fits | 36.3 GB | 256k | 175tok/sest. | 10830 tok/s | chat, coding, agents, long documents |
| GLM 4.7 Flash Z.ai | Q8_0 | fits | 32.6 GB | 198k | 95tok/sest. | 5654 tok/s | chat, coding, agents, long documents |
| Devstral Small 2 24B Mistral AI | Q8_0 | fits | 29.6 GB | 236k384k with q8 cache | 37tok/sest. | 1601 tok/s | chat, coding, agents, long documents |
| Nemotron 3.5 Lightning 30B-A3B NVIDIA | UD-Q6_K_XL | fits | 34.1 GB | 256k | 187tok/sest. | 12358 tok/s | chat, coding, agents, long documents |
| gpt-oss 20B OpenAI | MXFP4 | fits | 13.3 GB | 128k | 206tok/sest. | 8085 tok/s | chat, coding, agents, long documents |
| Kimi Linear 48B-A3B Moonshot AI | Q8_0 | fits | 50.2 GB | 959k1024k with q8 cache | 191tok/sest. | 9333 tok/s | chat, coding, long documents |
| Qwen3 Coder 30B-A3B Alibaba Qwen | Q8_0 | fits | 34.5 GB | 256k | 104tok/sest. | 4980 tok/s | chat, coding, agents, long documents |
| Qwen3 32B Alibaba Qwen | Q8_0 | fits | 41.7 GB | 40k | 26tok/sest. | 942 tok/s | chat, coding |
| Gemma 4 12B | Q8_0 | fits | 13.9 GB | 256k | 82tok/sest. | 3518 tok/s | chat, coding, long documents |
| Qwen 3.5 9B Alibaba Qwen | Q8_0 | fits | 11.2 GB | 256k | 104tok/sest. | 4384 tok/s | chat, coding, long documents |
| Mistral Small 3.2 24B Mistral AI | Q8_0 | fits | 29.6 GB | 128k | 37tok/sest. | 1601 tok/s | chat, coding, long documents |
| Gemma 3 27B | Q8_0 | fits | 30.9 GB | 128k | 35tok/sest. | 1610 tok/s | chat, coding, long documents |
| DeepSeek R1 Distill Qwen 32B DeepSeek | Q8_0 | fits | 41.7 GB | 114k128k with q8 cache | 26tok/sest. | 1081 tok/s | chat, coding |
| Llama 3.3 70B Meta | Q5_K_M | fits | 57.8 GB | 47k88k with q8 cache | 18tok/sest. | 511 tok/s | chat |
| Ministral 3 14B Mistral AI | Q8_0 | fits | 19.7 GB | 256k | 56tok/sest. | 2435 tok/s | chat, coding, long documents |
| Qwen3 14B Alibaba Qwen | Q8_0 | fits | 20.9 GB | 40k | 53tok/sest. | 2189 tok/s | chat, coding, long documents |
| DeepSeek R1 0528 Qwen3 8B DeepSeek | Q8_0 | fits | 13.9 GB | 128k | 82tok/sest. | 3611 tok/s | chat, coding, long documents |
| Qwen3 8B Alibaba Qwen | Q8_0 | fits | 13.9 GB | 40k | 82tok/sest. | 3611 tok/s | chat, coding, long documents |
| Phi-4 14B Microsoft | Q8_0 | fits | 22.0 GB | 16k | 50tok/sest. | 2201 tok/s | chat, coding, long documents |
| Qwen 3.5 4B Alibaba Qwen | Q8_0 | fits | 6.5 GB | 256k | 198tok/sest. | 8202 tok/s | chat, coding, long documents |
| Ministral 3 8B Mistral AI | Q8_0 | fits | 13.9 GB | 256k | 82tok/sest. | 3488 tok/s | chat, coding, long documents |
| Granite 4.2 8B IBM | Q8_0 | fits | 15.0 GB | 128k | 76tok/sest. | 3321 tok/s | chat, coding, agents, long documents |
| Gemma 4 E4B | Q8_0 | fits | 9.8 GB | 128k | 121tok/sest. | 5507 tok/s | chat, coding, long documents |
| LFM2.5 8B-A1B Liquid AI | Q8_0 | fits | 11.2 GB | 125k | 249tok/sest. | 18013 tok/s | chat, coding, long documents |
| Llama 3.1 8B Meta | Q6_K | fits | 11.4 GB | 128k | 102tok/sest. | 3815 tok/s | chat, coding, long documents |
| Qwen 3.8 Flash Next Alibaba Qwen | UD-Q2_K_XL | offload | 75.6 GB | – | 5tok/sest. | 659 tok/s | – |
| MiniMax M2.7 MiniMax | UD-Q2_K_XL | offload | 79.2 GB | – | 11tok/sest. | 1748 tok/s | chat |
| DeepSeek V4 Flash DeepSeek | UD-Q2_K_XL | won't run | 94.2 GB | – | – | – | – |
| GLM 5.3 Flash Z.ai | UD-Q2_K_XL | won't run | 103.0 GB | – | – | – | – |
Specifications
From the manufacturer's published specifications; sources are linked where we have them.
- GPU
- GeForce RTX 5090
- Memory
- 32 GB GDDR7
- Memory bus
- 512-bit
- Memory bandwidth
- 1,792 GB/s
- FP16 compute
- 209 TFLOPS
- Software
- CUDA
- Board power
- 575 W
- PCIe generation
- Gen 5
- PCIe lanes
- x16